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The latest News and Information on Cloud monitoring, security and related technologies.

Upsun Dispatch is available in prerelease

When we introduced Upsun Dispatch last week, we said we were building the platform layer for everything around the code. Today, you can apply to join as a founding design partner. Starting July 1, 2026, a number of engineering organizations will join us in prerelease. This is a selective, high-touch collaboration with teams who want to help shape what comes next. If you missed the introduction, you can catch up on Upsun Dispatch here.

Difference Between Elasticity and Scalability in Cloud Computing

In cloud computing, teams use elasticity and scalability as if they mean the same thing. In reality, the two describe different ways a system handles load, and they solve different problems. Mixing them up can be very expensive. You either pay for capacity that sits idle, or your app buckles the moment traffic spikes, and the bill and the incident report both feel it.

How to Choose a Cloud Migration Partner in New Jersey: What IT Leaders Need to Verify

A failed cloud migration does not announce itself in advance. Data loss, extended downtime, misconfigured security controls, and compliance gaps surface during or after the move, when reversing course is expensive and the business is already affected. For New Jersey organisations in financial services, healthcare, legal, and manufacturing, the stakes are high enough that choosing the right migration partner is at least as important as choosing the right cloud platform. The hard part is separating providers who can execute a migration cleanly from those who can describe one convincingly.

Why your team keeps waiting for staging (and what to do about it)

The staging bottleneck: why your framework needs ephemeral preview environments There's a specific kind of Friday afternoon that frontend and backend developers both recognize. A feature is ready to test. Staging is occupied. Someone else pushed a half-finished migration to the shared database last Tuesday and it's been "almost fixed" ever since. You either wait or you merge blind and hope. Most teams treat this as a scheduling problem. It isn't. It's an architecture problem.

The AI vendors just started watching the meter. CFOs need to watch the return.

On June 18, OpenAI gave ChatGPT Enterprise admins new credit usage analytics and spend controls. It’s a single view of credit consumption broken down by user, product, and model, default workspace budgets, per-group limits, and a Cost API for pulling the data into their own systems. Two days earlier, Microsoft shipped Copilot Cowork with spending limits, budget allocation, usage alerts, and user-level caps. This is a step in the right direction.

Customer lifetime value (CLV): formula, calculation, and how to improve it

Customer lifetime value (CLV) is the total revenue a business expects from a single customer over the entire relationship, minus the costs of serving them. The standard SaaS CLV formula: Average Revenue Per Account x Gross Margin % / Monthly Churn Rate. For a $500/month customer with 75% gross margin and 5% churn: CLV = $7,500. That number can swing materially once AI spend per customer is built into gross margin, something many SaaS companies still don't do.